Job Description

Remote (EMEA)
3-6 yrs Exp.

Contract 3 MonthsStart Immediately
JOB

Job Title: Biopharmaceutical Data Scientist

Introduction:

We are seeking a skilled and innovative

Biopharmaceutical Data Scientist

to join our dynamic team. This role is pivotal in leveraging advanced

data science

and

machine learning

techniques to drive insights and accelerate drug discovery and development processes within the biopharmaceutical industry. The successful candidate will contribute to transforming complex biological and clinical data into actionable knowledge, ultimately impacting patient outcomes and advancing healthcare solutions.

Roles and Responsibilities:

Develop and implement robust

machine learning

models and algorithms tailored to biopharmaceutical datasets to identify patterns, predict outcomes, and optimize drug development pipelines. Analyze large-scale biological, clinical, and pharmaceutical data using advanced

data science

methodologies to support decision-making processes. Collaborate with cross-functional teams including bioinformatics, clinical research, and regulatory affairs to integrate data-driven insights into project strategies. Design and maintain scalable data pipelines and workflows ensuring high-quality data management and reproducibility. Communicate complex data findings and model results effectively to both technical and non-technical stakeholders. Stay updated with the latest advancements in

pharma

analytics,

machine learning

, and

data science

to continuously enhance analytical approaches.

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, Bioinformatics, Statistics, Pharmaceutical Sciences, or a related field. PhD is a plus. 3 to 6 years of professional experience in

data science

or

machine learning

roles within the biopharmaceutical or healthcare sector. Strong understanding of pharmaceutical development processes and domain knowledge in

pharma

is essential. Proven experience in handling and analyzing complex biological and clinical datasets. Excellent problem-solving skills and ability to work independently as well as in collaborative, multidisciplinary teams.

Tools and Technologies:

Proficiency in

Python

and its scientific libraries such as

Pandas

,

NumPy

,

Scikit-learn

, and

TensorFlow

or

PyTorch

for building and deploying machine learning models. Experience with data visualization tools like

Matplotlib

,

Seaborn

, or

Plotly

. Familiarity with database querying languages such as

SQL

. Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) for scalable data processing is advantageous. Exposure to pharmaceutical data standards and platforms (e.g., CDISC, SAS) is a plus.




Join us to apply your expertise in

data science

and

machine learning

to make a meaningful impact in the biopharmaceutical industry and help bring innovative therapies to patients worldwide.


Skills


Data Science, Machine Learning, Python, Pharma